Nucleus Mcp

Name: Nucleus Mcp
Author: eidetic-works

@eidetic-works

关于 Nucleus Mcp

Nucleus MCP server by Eidetic Works — persistent memory and governance for Claude, Cursor, Windsurf — file-based, no vendor lock-in.

基本信息

分类

AI 与智能体

许可证

MIT

运行时

python

传输方式

stdio

发布者

eidetic-works

提交者

eidetic-works

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "nucleus": {
      "command": "python3",
      "args": [
        "-m",
        "mcp_server_nucleus"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Nucleus Mcp?

Nucleus Mcp is an MCP server that provides a portable decision log (.brain folder) for AI coding tools. It stores decisions, policies, and plans in plain JSON and markdown files, giving Claude Code, Cursor, and Codex persistent memory across sessions without vendor lock-in.

How to use Nucleus Mcp?

Install via pip install nucleus-mcp or npx -y nucleus-mcp, then run nucleus init --recipe founder to auto-configure your MCP client. Add the remote server at https://relay.nucleusos.dev/mcp for no-install use with ChatGPT, Claude, or Perplexity.

Key features of Nucleus Mcp

114 MCP tools across 13 facades
GROUND: 5-tier execution verification (diff, syntax, imports, tests, runtime)
ALIGN: One-call human corrections with verdict + delta + DPO
Persistent engram memory across sessions and tools
Governance with kill switch, HITL gates, and compliance configs
Multi-brain orchestration, agent slots, and task dispatch

Use cases of Nucleus Mcp

Maintain project context across AI coding sessions without re-explaining
Automatically verify AI-generated code correctness and reliability
Record and learn from human corrections to improve future outputs
Generate compliance-ready audit trails for regulated workflows
Manage and prioritize tasks with escalation and heartbeat monitoring

FAQ from Nucleus Mcp

What makes Nucleus Mcp different from other context tools?

It is file-based (plain JSON + markdown), uses no embeddings, and has no vendor lock-in. All AI tools that support MCP share the same .brain folder.

What are the runtime requirements?

You can run it via Python (pip install) or Node.js (npx -y nucleus-mcp). No Python environment is needed if using npx.

Where is data stored?

Data lives locally in a .brain directory, discovered automatically by environment variable, walking up from the current working directory, or falling back to $HOME/.nucleus/brain.

Does Nucleus Mcp collect telemetry?

Yes, anonymous aggregate usage statistics (command name, duration, error type, versions, OS) are collected, but no engram content, file paths, prompts, API keys, or PII. Telemetry can be disabled with nucleus config --no-telemetry.

Are there any limits in the free version?

The free MIT version includes all 13 tools, 10 resources, 3 prompts, persistent memory, governance, and audit trails. Nucleus Pro ($19/month) adds signed audit reports, full compliance exports, and priority issue support.

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